12 citations as recorded by crossref.

1. Advancing simulations of water fluxes, soil moisture and drought stress by using the LWF-Brook90 hydrological model in R P. Schmidt-Walter et al. 10.1016/j.agrformet.2020.108023
2. Mitigating the Scintillation Effect on GNSS Signals Using MP and ROTI C. Li et al. 10.3390/rs14236089
3. Spatiotemporal dynamic of subtropical forest carbon storage and its resistance and resilience to drought in China M. Yan et al. 10.3389/fpls.2023.1067552
4. Sentinel-1 soil moisture content and its uncertainty over sparsely vegetated fields H. Benninga et al. 10.1016/j.hydroa.2020.100066
5. Analyzing Daily Estimation of Forest Gross Primary Production Based on Harmonized Landsat-8 and Sentinel-2 Product Using SCOPE Process-Based Model R. Raj et al. 10.3390/rs12223773
6. Extending the SCOPE model to combine optical reflectance and soil moisture observations for remote sensing of ecosystem functioning under water stress conditions B. Bayat et al. 10.1016/j.rse.2018.11.021
7. Improving the Simulation Accuracy of the Net Ecosystem Productivity of Subtropical Forests in China: Sensitivity Analysis and Parameter Calibration Based on the BIOME-BGC Model J. Sun et al. 10.3390/f15030552
8. What should we do when a model crashes? Recommendations for global sensitivity analysis of Earth and environmental systems models R. Sheikholeslami et al. 10.5194/gmd-12-4275-2019
9. A process-based model to forecast risk of potato late blight in Norway (The Nærstad model): model development, sensitivity analysis and Bayesian calibration A. Hjelkrem et al. 10.1016/j.ecolmodel.2021.109565
10. A Bayesian inversion framework to evaluate parameter and predictive inference of a simple soil respiration model in a cool-temperate forest in western Japan M. Toda et al. 10.1016/j.ecolmodel.2019.108918
11. Modeling the effect of grazing on carbon and water use efficiencies in grasslands on the Qinghai–Tibet Plateau X. Huang et al. 10.1186/s12862-024-02215-4
12. Bayesian integration of flux tower data into a process-based simulator for quantifying uncertainty in simulated output R. Raj et al. 10.5194/gmd-11-83-2018